Analytics

Designing Products for Performance, Risk, and Compliance

Issue in Focus: Designing Products for Performance, Risk, and Compliance – Leveraging Product Analytics to Optimize Design Decisions and Tradeoffs shares the importance of proactively providing designers with insight into the many impacts of their design decisions. Product analytics is critical to help companies design and develop products with optimal cost, compliance, weight, performance, and…

Business Intelligence Extending PLM Value

Business Intelligence Extending PLM Value: PLM Maturity Enables New Value from Analytics points out the significant value that has accumulated in PLM systems as implementations and usage have matured, and how manufacturers can tap into that value with business intelligence (BI) solutions. Please enjoy the free Introduction below, or click the report title above to…

Can Siemens Make PLM Fun with HD-PLM?

Siemens is making a significant investment in modernizing the PLM experience with HD PLM. How will it help manufacturers get more from their PLM investment?

Circling Back on Quality with Siemens PLM

I had the chance to talk with … Siemens PLM a couple of times in response to my post on Quality Lifecycle Management titled Expanding PLM’s Pervue – Quality and Risk Management. I had a good conversation with the Siemens team about their offering. It is interesting, takes a bit of a unique approach, and I think it is worth talking about

Mining Social Network Emotions and Opinions for Product Development

What I learned this week …came from an article in The New York Times by Alex Wright. The article, Mining the Web for Feelings not Facts, was a great look into a concept that is new to me, an emerging field called “sentiment analysis.” The article defines sentiment analysis as “translating the vagaries of human emotion into hard data.” The examples show companies using data analysis techniques to gain insight into what social media (such as social networks and blogs) are saying about their company. My thoughts immediately turned to the value this information would have to product developers to understand how customers feel about their products, and what a great tool this could be in the social computing toolkit for PLM.

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